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Chromatography Analysis and Design Toolkit (CADET) Leweke S, von Lieres E Computers & Chemical Engineering, 113, 274, 2018 |
2 |
Utilizing algorithmic differentiation to efficiently compute chromatograms and parameter sensitivities Puttmann A, Schnittert S, Leweke S, von Lieres E Chemical Engineering Science, 139, 152, 2016 |
3 |
Fast and accurate parameter sensitivities for the general rate model of column liquid chromatography Puttmann A, Schnittert S, Naumann U, von Lieres E Computers & Chemical Engineering, 56, 46, 2013 |
4 |
Experimental and modeling study of adsorption in preparative monolithic silica column Zabka M, Minceva M, Rodrigues AE Chemical Engineering and Processing, 45(2), 150, 2006 |
5 |
Diethylenetriaminepentaacetic acid impregnated Ceralite IR 400 for transition metal complexation: Implication for separation and recovery Singh DK, Srivastava M Separation Science and Technology, 40(10), 2053, 2005 |
6 |
Adsorption characteristics of toluene and p-xylene in a reversed-phase C-18 column for simulated moving bed chromatography Bae YS, Im SH, Lee KM, Lee JK, Lee CH Separation Science and Technology, 40(11), 2183, 2005 |
7 |
Mobile Phase Composition for Resolving Whey Proteins in Reversed-Phase High Performance Liquid Chromatography Jung YA, Choi DY, Hong SB, Row KH Korean Journal of Chemical Engineering, 20(4), 705, 2003 |
8 |
Mechanism of streaming current generation by concentration gradients in packed-particle columns Vespalec R, van Leeuwen HP Journal of Colloid and Interface Science, 244(1), 66, 2001 |
9 |
Control of Long-Term Perfusion Chinese-Hamster Ovary Cell-Culture by Glucose Auxostat Konstantinov KB, Tsai YS, Moles D, Matanguihan R Biotechnology Progress, 12(1), 100, 1996 |